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B01=Alessandro Benfenati
B01=Federica Porta
B01=Marco Viola
B01=Tatiana Alessandra Bubba
Category1=Non-Fiction
Category=PBK
Category=PBU
Category=UYQM
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Active
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Advanced Techniques in Optimization for Machine Learning and Imaging

English

In recent years, non-linear optimization has had a crucial role in the development of modern techniques at the interface of machine learning and imaging. The present book is a collection of recent contributions in the field of optimization, either revisiting consolidated ideas to provide formal theoretical guarantees or providing comparative numerical studies for challenging inverse problems in imaging. The work of these papers originated in the INdAM Workshop Advanced Techniques in Optimization for Machine learning and Imaging held in Roma, Italy, on June 20-24, 2022.

The covered topics include non-smooth optimisation techniques for model-driven variational regularization, fixed-point continuation algorithms and their theoretical analysis for selection strategies of the regularization parameter for linear inverse problems in imaging, different perspectives on Support Vector Machines trained via Majorization-Minimization methods, generalization of Bayesian statistical frameworks to imaging problems, and creation of benchmark datasets for testing new methods and algorithms.

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Current price €183.34
Original price €192.99
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Age Group_Uncategorizedautomatic-updateB01=Alessandro BenfenatiB01=Federica PortaB01=Marco ViolaB01=Tatiana Alessandra BubbaCategory1=Non-FictionCategory=PBKCategory=PBUCategory=UYQMCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Activesoftlaunch

Will deliver when available. Publication date 24 Oct 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 03 Oct 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819767687

About

Alessandro Benfenati is an Assistant Professor at the University of Milan Italy. He earned his Ph.D. in 2015 in Mathematics at the University of Ferrara Italy and became a Post-doctoral researcher in the same university. He then moved to Paris in 2016 where he continued his research activity at University Paris Est-Marne-la-valle e and at ESIEE as Post-Doctoral researcher. In 2019 he came back in Italy at University of Milan. His research interests span several areas from inverse problems in imaging framework using variational techniques to Deep Learning methods for data classification semantic segmentation and data generation. Its most recent interest regards explainable artificial intelligence (XAI) research employing Geometric Deep Learning.  Tatiana A. Bubba is an Assistant Professor in Applied Mathematics at the University of Bath UK. After obtaining her PhD in 2016 from the University of Ferrara Italy she became a postdoctoral researcher at the University of Helsinki Finland where she was Academy Postdoc from 2020. In 2021 she relocated to UK with a Royal Society Newton International Fellowship at the University of Cambridge before taking her current post at the University of Bath in 2022. Her interest lies in computational inverse problems especially tomographic imaging and their interaction with regularisation theory and optimisation methods multiscale representation system like shearlets and deep learning strategies.  Federica Porta is an Assistant Professor in Numerical Analysis at the University of Modena and Reggio Emilia Italy. From the same university she obtained her PhD in 2015. After a postdoctoral research period at the University of Ferrara (Italy) she got her current position. Her research interest deals with the design and analysis of optimization methods for large-scale applications arising in image processing and machine learning.  Marco Viola is an Assistant Professor in Applied and Computational Mathematics at the University College Dublin Ireland. He earned a PhD in Operations Research at the Sapienza University of Rome (Italy) in 2019. Later he moved to University of Campania L. Vanvitelli as a postdoc first and an assistant professor later before joining UCD on February 2023. His research is mainly devoted to nonlinear optimization with applications to machine learning deep learning and image processing.

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